| Using UAVs for map creation and updating. A case study in Rwanda M Koeva, M Muneza, C Gevaert, M Gerke, F Nex Survey Review 50 (361), 312-325, 2018 | 83 | 2018 |
| Quality assessment of combined IMU/GNSS data for direct georeferencing in the context of UAV-based mapping C Stöcker, F Nex, M Koeva, M Gerke The International Archives of Photogrammetry, Remote Sensing and Spatial …, 2017 | 59 | 2017 |
| Integrating spherical panoramas and maps for visualization of cultural heritage objects using virtual reality technology M Koeva, M Luleva, P Maldjanski Sensors 17 (4), 829, 2017 | 53 | 2017 |
| A procedure for semi-automated cadastral boundary feature extraction from high-resolution satellite imagery YA Wassie, MN Koeva, RM Bennett, CHJ Lemmen Journal of spatial science 63 (1), 75-92, 2018 | 39 | 2018 |
| Deep fully convolutional networks for cadastral boundary detection from UAV images X Xia, C Persello, M Koeva Remote sensing 11 (14), 1725, 2019 | 37 | 2019 |
| SLIC superpixels for object delineation from UAV data S Crommelinck, R Bennett, M Gerke, MN Koeva, MY Yang, G Vosselman ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2017 | 34 | 2017 |
| Towards innovative geospatial tools for fit-for-purpose land rights mapping M Koeva, R Bennett, M Gerke, S Crommelinck, C Stöcker, J Crompvoets, ... International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2017 | 32 | 2017 |
| Unmanned Aerial System imagery, land data and user needs: A socio-technical assessment in Rwanda C Stöcker, S Ho, P Nkerabigwi, C Schmidt, M Koeva, R Bennett, ... Remote sensing 11 (9), 1035, 2019 | 26 | 2019 |
| Innovative remote sensing methodologies for Kenyan land tenure mapping M Koeva, C Stöcker, S Crommelinck, S Ho, M Chipofya, J Sahib, ... Remote sensing 12 (2), 273, 2020 | 25 | 2020 |
| Application of QuickBird satellite imagery for updating cadastral information A Alexandrov, T Hristova, K Ivanova, M Koeva, T Madzharova, V Petrova XX Congress of ISPRS, Istanbul, 386-391, 2004 | 25 | 2004 |
| Application of deep learning for delineation of visible cadastral boundaries from remote sensing imagery S Crommelinck, M Koeva, MY Yang, G Vosselman Remote sensing 11 (21), 2505, 2019 | 24 | 2019 |
| The spatial dimension of COVID-19: The potential of earth observation data in support of slum communities with evidence from Brazil PL Brito, M Kuffer, M Koeva, JC Pedrassoli, J Wang, F Costa, AD Freitas ISPRS international journal of geo-information 9 (9), 557, 2020 | 23 | 2020 |
| INTERACTIVE CADASTRAL BOUNDARY DELINEATION FROM UAV DATA. S Crommelinck, B Höfle, MN Koeva, MY Yang, G Vosselman ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information …, 2018 | 20 | 2018 |
| Comparing Human Versus Machine-Driven Cadastral Boundary Feature Extraction RB Emmanuel Nyandwi, Mila Koeva, Divyani Kohli Remote Sensing 11 (14), 2019 | 19 | 2019 |
| Investigating semi-automated cadastral boundaries extraction from airborne laser scanned data X Luo, RM Bennett, M Koeva, C Lemmen Land 6 (3), 60, 2017 | 18 | 2017 |
| High-quality uav-based orthophotos for cadastral mapping: Guidance for optimal flight configurations C Stöcker, F Nex, M Koeva, M Gerke Remote sensing 12 (21), 3625, 2020 | 16 | 2020 |
| Quantifying the overlap between cadastral and visual boundaries: A case study from Vanuatu X Luo, R Bennett, M Koeva, C Lemmen, N Quadros Urban Science 1 (4), 32, 2017 | 15 | 2017 |
| Remote sensing for land administration R Bennett, P Oosterom, C Lemmen, M Koeva Remote sensing 12 (15), 2497, 2020 | 14 | 2020 |
| 3D MODELLING AND INTERACTIVE WEB-BASED VISUALIZATION OF CULTURAL HERITAGE OBJECTS. MN Koeva International Archives of the Photogrammetry, Remote Sensing & Spatial …, 2016 | 14 | 2016 |
| Layer approach to ownership in 3D cadastre in the case of underground tunnels M Karabin, D Kitsakis, M Koeva, G Navratil, JM Paasch, J Paulsson, ... Land use policy 98, 104464, 2020 | 13 | 2020 |
Markus GerkeInstitute of Geodesy and Photogrammetry, Technical University of Braunschweig (Brunswick), GermanyVerified email at tu-bs.de
